cog-weekly-reflection
The cog-weekly-reflection skill conducts structured weekly reviews by analyzing vault entries across personal, professional, and project domains to identify patterns in energy levels, career development, and project progress. Use this skill to synthesize cross-domain insights, spot connections between life areas, and generate actionable recommendations with confidence ratings for comprehensive self-assessment.
git clone --depth 1 https://github.com/a5c-ai/babysitter /tmp/cog-weekly-reflection && cp -r /tmp/cog-weekly-reflection/library/methodologies/cog-second-brain/skills/weekly-reflection ~/.claude/skills/cog-weekly-reflectionSKILL.md
- Identify patterns in personal domain (energy, mood, productivity)
- Identify patterns in professional domain (skills, career, industry)
- Identify patterns in project domain (velocity, blockers, progress)
- Synthesize cross-domain connections
- Generate actionable insights with confidence levels
- Quality-gated reflection with iterative refinement
## Tool Use Instructions
1. Use `file-read` to load entries from 01-daily, 02-personal, 03-professional, 04-projects
2. Use `file-search` to find related entries across sections
3. Analyze patterns within each domain independently
4. Synthesize cross-domain connections
5. Use `file-write` to create weekly check-in in 01-daily
6. Add cross-references to identified patterns
7. Use `git-commit` to commit reflection
## Examples
```json
{
"vaultPath": "./cog-vault",
"mode": "weekly-checkin",
"userName": "Alex",
"rolePack": "engineer",
"targetQuality": 80
}
```Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.
System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
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This skill should be used when the user asks to "babysit issues", "work on assigned issues", "check a5c-agent issues", "process babysitter issues", or wants to find and work on open GitHub issues assigned to a5c-agent in the babysitter repo.